parameter estimation;
coupled system of nonlinear size-structured populations;
finite difference approximation;
numerical simulation;
stand deviation;
D O I:
暂无
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
A least squares technique is developed for identifying unknown parameters in a coupled system of nonlinear size-structured populations. Convergence results for the parameter estimation technique are established. Ample numerical simulations and statistical evidence are provided to demonstrate the feasibility of this approach.
机构:
Department of Computing Science and Mathematics, University of Stirling, StirlingDepartment of Computing Science and Mathematics, University of Stirling, Stirling